MedINT today announced the commercial launch of the first human-in-the-loop medical AI platform designed to return full control of evidence review and treatment decisions to clinicians managing complex patients. The system maintains clinician control at every step by delivering patient-specific evidence summaries that support clinical judgment without replacing it..

MedINT 今天宣布推出首个面向复杂患者的“人在环路”医疗人工智能平台的商业化版本，该平台旨在将证据审查和治疗决策的完全控制权交还给临床医生。该系统通过提供针对患者的具体证据摘要，在每一步都保持临床医生的掌控，以支持而非取代临床判断。

Medical knowledge is expanding faster than practitioners can absorb. More than 2.5 million biomedical papers are published each year (National Institutes of Health, 2025), and a 2024 Doximity survey found that 70% of physicians feel overwhelmed by the reading required to stay current. MedINT was created to address this widening gap.

医学知识的扩展速度超过了从业者能够吸收的速度。每年发表的生物医学论文超过250万篇（美国国立卫生研究院，2025年），2024年Doximity的一项调查发现，70%的医生感到难以承受保持知识更新所需的阅读量。MedINT的创建正是为了应对这一不断扩大的差距。

Tested with leading clinicians across multiple specialties, the platform is a secure, cloud-based clinical decision support system designed for multidisciplinary settings, including tumor boards..

该平台经过多个专科领域的领先临床医生测试，是一个安全的、基于云的临床决策支持系统，专为包括肿瘤委员会在内的多学科环境设计。

The platform integrates advanced AI capabilities with transparent, human-centered validation tools that help clinicians verify sources, evaluate study quality, and weigh patient-specific factors in real time. This structure ensures that AI-generated insights support, rather than shortcut, expert clinical reasoning..

该平台将先进的AI能力与透明的、以人为中心的验证工具相结合，帮助临床医生实时核实来源、评估研究质量并权衡患者特定因素。这种结构确保了AI生成的见解是支持而非取代专家的临床推理。

Complex cases often involve overlapping conditions, rare clinical profiles, and conflicting research, which complicates clinical interpretation. With more than 50% of U.S. adults reporting multiple chronic conditions (Centers for Disease Control and Prevention, 2025), clinicians need tools that reinforce medical expertise..

复杂病例通常涉及重叠的病症、罕见的临床特征以及相互矛盾的研究结果，这使得临床解读变得复杂。美国疾病控制与预防中心（2025年）数据显示，超过50%的美国成年人报告患有多种慢性疾病，因此临床医生需要能够强化医学专业知识的工具。

Medical decisions carry high stakes, yet clinical research varies widely in quality, and many complex patients are excluded from trials. Without safeguards, automated systems can misapply weak evidence or offer overconfident recommendations, eroding clinical reliability and placing patients at risk..

医学决策事关重大，但临床研究的质量参差不齐，许多复杂患者被排除在试验之外。如果没有保障措施，自动化系统可能会错误应用薄弱的证据或给出过于自信的建议，从而削弱临床可靠性并使患者面临风险。

'As a hematologist, much of my work involves caring for patients who do not fit neatly into standard guidelines. They have multiple comorbidities, prior therapies, or rare presentations that turn each treatment plan into a high-stakes judgment call. Even when you follow the literature closely, translating heterogeneous data into clear options for a specific patient remains a major challenge.

“作为一名血液科医生，我的大部分工作是照顾那些不完全符合标准指南的患者。他们通常有多种合并症、先前接受过治疗或表现出罕见的症状，这使得每个治疗方案都成为一项高风险的判断决策。即使你紧密跟踪文献，将异质性数据转化为针对特定患者的清晰选项仍然是一项重大挑战。

A platform like MedINT, which provides verified, patient-specific evidence without replacing my clinical judgment, is exactly the kind of support physicians need to make safer, more confident decisions for complex patients,' said Dr. Yotam Bronstein, hematologist, Tel Aviv Medical Center..

特拉维夫医疗中心的血液科医生约塔姆·布朗斯坦博士表示：“像MedINT这样的平台，提供经过验证的、针对患者的具体证据，同时并不取代我的临床判断，正是医生在为复杂患者做出更安全、更有信心决策时所需要的帮助。”

Real-world incidents underscore the need for safeguards. In documented cases, automated systems relying on incomplete or mismatched data recommended inappropriate treatments, including unsafe adult dosing for pediatric patients with organ failure. MedINT is engineered to prevent such errors by grounding every insight in each patient's precise clinical context..

现实中的事件强调了对保护措施的需求。在有记录的案例中，依赖不完整或不匹配数据的自动化系统推荐了不适当的治疗方案，包括为器官衰竭的儿科患者提供不安全的成人剂量。MedINT通过将每个洞察立足于患者的精确临床背景，旨在防止此类错误的发生。

Tanya Attias, CEO of MedINT, founded the company after experiencing firsthand how fragmented medical information can delay proper care. 'Watching my husband's treatment stall due to missing or disconnected clinical insights made the problem painfully real. Over the past decade, we worked to capture and structure complex clinical questions through meticulous manual analysis, building a unique database of physician dilemmas that no one else had.

Tanya Attias，MedINT的首席执行官，在亲身经历医疗信息碎片化如何延误适当治疗后创立了这家公司。“看着我丈夫的治疗因为缺失或不连贯的临床见解而停滞不前，让我深刻感受到这一问题的严重性。在过去的十年里，我们通过细致的手动分析来捕捉和构建复杂的临床问题，建立了一个独一无二的医生困境数据库，这是其他人所没有的。”

Today, MedINT brings that human wisdom into an AI-powered platform that learns from clinicians, preserves their judgment, and scales their expertise. Our vision is simple and bold: to ensure that no patient's care is limited by incomplete evidence ever again.'.

今天，MedINT 将这种人类智慧引入一个由人工智能驱动的平台，该平台向临床医生学习，保留他们的判断，并扩展他们的专业知识。我们的愿景简单而大胆：确保患者的护理不再因证据不完整而受到限制。

MedINT's human-in-the-loop AI platform is now commercially available to health systems, hospitals, and clinical partners. The company offers two service levels: a self-guided AI tool for clinicians and an MD-guided comprehensive literature review service for tumor boards and complex treatment decisions..

MedINT的人机协作AI平台现已向医疗系统、医院和临床合作伙伴商业推出。该公司提供两个服务级别：供临床医生使用的自助式AI工具，以及为肿瘤委员会和复杂治疗决策提供的由医学博士指导的综合文献回顾服务。

About MedINT

关于MedINT

MedINT helps clinicians manage complex, multidisciplinary cases by embedding transparent, human-centered AI into clinical workflows. The company created the first human-in-the-loop platform for complex clinical decision support, delivering verified, evidence-based intelligence that keeps clinicians informed, in control, and fully supported throughout each patient's care journey..

MedINT 通过将透明的、以人为中心的人工智能嵌入临床工作流程，帮助临床医生管理复杂、多学科的病例。该公司创建了首个用于复杂临床决策支持的人机协作平台，提供经过验证的、基于证据的情报，使临床医生在整个患者的护理过程中始终掌握信息、保持掌控并获得充分支持。

Media Contact:

媒体联系人：

Hadas Sasson-Zitomer

哈达斯·萨松-齐托默

1-866-568-4040

1-866-568-4040

[email protected]

[email protected]

www.medint.ai

www.medint.ai

Source: prnewswire.com

来源：prnewswire.com